Master 2025/2026

Stochastic Models

Type: Elective course (Data Analytics and Social Statistics)

Delivered by: International Laboratory for Applied Network Research

When: 2 year, 3 module

Open to: students of one campus

Language: English

Course Syllabus

Abstract

Mathematical models based on probability theory prove to be extremely useful in describing and analyzing complex systems that exhibit random components. The goal of this course is to introduce several classes of stochastic processes, analyze their behavior over a finite or infinite time horizon, and help students enhance their problem solving skills. The course combines classic topics such as martingales, Markov chains, renewal processes, and queuing systems with approaches based on Stein’s method and on concentration inequalities. The course focuses mostly on discrete-time models and explores a number of applications in operations research, finance, and engineering. This is an elective course, offered to MASNA students, and examples used in class may differ depending on students’ interests.